SST

Website

github.com

Categories

#Open Source #Software Engineering #Developer Tools #Productivity #CMS

Quantopian

Website

quantopian.com

Categories

#Development #Finance #Tool #Investing

SST features and specs

• Ease of Use
  SST is designed to simplify the process of building serverless applications, providing developers with higher-level abstractions and tools that streamline development.
• Integration with AWS
  SST is well-integrated with AWS services, allowing developers to leverage the full power of AWS infrastructure while maintaining a focus on serverless architecture.
• Live Lambda Development
  SST supports live Lambda development, enabling developers to make real-time changes and see them reflected immediately without the need for lengthy deployment processes.
• Infrastructure as Code
  With SST, developers can define their infrastructure programmatically, which promotes version control, scalability, and collaboration among team members.
• Flexibility
  SST provides flexibility to developers, allowing them to use popular libraries and frameworks alongside serverless components, thus accommodating various use cases.

Possible disadvantages of SST

• Learning Curve
  Developers unfamiliar with SST and its abstractions may face a learning curve in understanding how to effectively use the toolkit and take full advantage of its features.
• AWS Lock-in
  As SST is tightly integrated with AWS services, it can lead to vendor lock-in, making it challenging for organizations to switch to other cloud providers in the future.
• Complexity for Small Projects
  For smaller projects, the overhead introduced by SST's abstractions and tooling might be unnecessary, adding complexity without significant benefits.
• Dependency on Community Support
  SST relies on community support for maintenance and feature development, which could pose a risk if the community's interest wanes or if support does not keep pace with AWS innovations.

Quantopian features and specs

• Community Collaboration
  Quantopian provided a platform for users to share and collaborate on trading algorithms, enabling users to learn from each other and improve their strategies.
• Access to Data
  Quantopian offered access to a wide range of financial data sets, which allowed users to develop and back-test their algorithms using historical data.
• Comprehensive Development Environment
  It featured an integrated development environment (IDE) with tools for coding, testing, and back-testing trading strategies in Python, which was user-friendly and powerful.
• Educational Resources
  Quantopian provided various educational resources, including lectures, tutorials, and a supportive community forum, which were beneficial for both beginners and experienced traders.
• Competition and Incentives
  Quantopian organized contests that incentivized users to develop successful trading algorithms, with the potential to receive a live trading allocation from the company.

Possible disadvantages of Quantopian

• Shutting Down Services
  Quantopian shut down its retail offering in 2020, which meant that users could no longer use their platform for developing and testing new algorithms.
• Limited Live Trading Options
  Users found limited options for deploying their strategies into live trading. Quantopian allowed this only for algorithms selected for allocation, which reduced accessibility for many users.
• Dependence on Platform
  Users who developed algorithms on Quantopian's platform were heavily dependent on it, and when it shut down, they had to transition to other platforms, which could be challenging.
• Resource Limitations
  There were computational and resource limitations for users, which could restrict the complexity of the algorithms and back-testing users could perform without additional infrastructure.
• Portfolio Selection Process
  The selection process for having algorithms licenced for live trading allocation was competitive and not transparent to many users, which could lead to frustration.

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